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fully funded 3.5 PhD (GTA) starting in January 2027 for the following disciplines; Biochemistry, Cell Biology, Chemistry, Computational Biology, Genetics, and Sports, Exercise and Rehabilitation Sciences
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 11 hours ago
Intelligence and the Life Sciences. We are building an AI-native, closed-loop research engine where automation, computation, and intelligent agents work together to decode, model, and rewrite biological circuits
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. Two PhD studentships are available to address one or more of the following scientific challenges: 1. Mechanical Integration Structural and functional integration requires the development of novel
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for applications: 30th September 2026 Interviews will be held on 21st October 2026 The candidate must be in a position to register by January 2027 Project overview This fully funded PhD studentship, supported by
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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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possible thereafter. The appointment is for a period of three years. The successful candidate will be enrolled in the PhD programme in Biostatistics and Epidemiology at the Faculty of Medicine
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passes. You will need to meet the minimum entry requirements for our PhD programme . Applicants should have a first-class or upper second-class honours or equivalents in Biochemistry, Biomedical Sciences
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PhD Scholarship Opportunity - Processing intelligence for green metals using in situ X-ray characterisation and machine learning Job No.: 693787 Location: Clayton campus Employment Type: Full-time
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intelligence enhance foreign language education?In this PhD project, you will investigate how AI can be used to better support the development of French speaking and writing skills in secondary education
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major £10 million national research programme bringing together leading experts in cancer epidemiology, biostatistics, artificial intelligence, and health data science. THE PROJECT: Early cancer diagnosis